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» A Graph Based Data Model for Graphics Interpretation
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113
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COLING
2008
15 years 3 months ago
Exact Inference for Multi-label Classification using Sparse Graphical Models
This paper describes a parameter estimation method for multi-label classification that does not rely on approximate inference. It is known that multi-label classification involvin...
Yusuke Miyao, Jun-ichi Tsujii
131
Voted
ICML
2007
IEEE
16 years 2 months ago
Learning from interpretations: a rooted kernel for ordered hypergraphs
The paper presents a kernel for learning from ordered hypergraphs, a formalization that captures relational data as used in Inductive Logic Programming (ILP). The kernel generaliz...
Gabriel Wachman, Roni Khardon
KDD
2003
ACM
112views Data Mining» more  KDD 2003»
16 years 2 months ago
Screening and interpreting multi-item associations based on log-linear modeling
Association rules have received a lot of attention in the data
Daniel Barbará, Xintao Wu, Yong Ye
ICDM
2009
IEEE
152views Data Mining» more  ICDM 2009»
14 years 11 months ago
A Sparsification Approach for Temporal Graphical Model Decomposition
Temporal causal modeling can be used to recover the causal structure among a group of relevant time series variables. Several methods have been developed to explicitly construct te...
Ning Ruan, Ruoming Jin, Victor E. Lee, Kun Huang
148
Voted
VC
2010
168views more  VC 2010»
14 years 8 months ago
From sentence to emotion: a real-time three-dimensional graphics metaphor of emotions extracted from text
This paper presents a novel concept: a graphical representation of human emotion extracted from text sentences. The major contributions of this paper are the following. First, we p...
Stéphane Gobron, Junghyun Ahn, Georgios Pal...